Developing and Applying New Approaches to Air Pollution Exposure Measurement for Individuals and Populations

前沿研究发生在互补学科的交叉点上。在空气污染暴露建模的背景下，智能手机技术的快速出现创造了令人兴奋的机会，进一步加深了我们对个人流动模式如何影响暴露的理解。此外，与传统的基于质量的测量相比，新的化学分析方法可能提供更有意义的颗粒污染物暴露信息。然而，我们还没有充分认识到这些新技术的潜力，还需要进一步的研究来无缝地整合这些数据流，以更好地了解个人和人口层面的空气污染暴露。

Cutting edge research happens at the intersection of complementary disciplines. In the context of air pollution exposure modeling, the rapid emergence of smart phone technologies has created exciting opportunities to further our understanding of how individual mobility patterns impact exposures. In addition, new chemical assays are available that may provide more meaningful exposure information for particulate pollutants than traditional mass-based measurements. However, we have yet to realize the full potential of these new technologies and further research is needed to seamlessly integrate these data streams to better understand individual and population-level exposures to air pollution.